Senior Data Engineer (Databricks) – Financial Services

REMODEVS SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ; Warszawa; On-site; PLN 210,000 - 320,000; Full time

Job summary

REMODEVS SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ is seeking a Senior Data Engineer to join a long-term project in financial services. You will work with Databricks, Delta Lake, and modern data engineering techniques in enterprise environments.

Responsibilities include designing and maintaining scalable data pipelines, optimizing ETL/ELT processes, and ensuring data quality and security. English proficiency at C1 is required.

Qualifications

• 5+ years commercial data engineering experience.
• 3+ years hands-on Databricks experience.
• Strong Spark, PySpark, SQL and Python skills.
• Experience building ETL/ELT pipelines.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Databricks.
• Build and optimize ETL/ELT processes for large-scale data.
• Develop data transformations with PySpark, Python, and SQL.
• Implement Delta Lake architectures and Lakehouse patterns.
• Maintain reliable data ingestion and integration.
• Improve data quality, performance, and reliability across platforms.
• Collaborate with Data Architects, Analysts, and stakeholders to deliver data solutions.
• Ensure data security, governance, and regulatory compliance in financial contexts.
• Troubleshoot and optimize existing data workflows.

Skills

Databricks

Spark

PySpark

SQL

Python

ETL/ELT pipelines

Delta Lake

Lakehouse

Cloud platforms

English C1

Job description

Nasze wymagania:

• 5+ years of commercial experience in Data Engineering.
• Minimum 3 years of hands-on experience with Databricks.
• Strong practical knowledge of Apache Spark and PySpark.
• Advanced SQL and Python programming skills.
• Experience designing and implementing ETL/ELT pipelines.
• Solid understanding of Delta Lake and Lakehouse architecture.
• Experience working with cloud platforms (Azure, AWS, or GCP).
• Knowledge of data modeling, data warehousing, and data integration.
• Experience optimizing data processing performance and managing large datasets.
• English proficiency at C1 level.

Mile widziane:

• Previous experience in banking, insurance, or financial services.
• Experience with Azure Databricks and Azure Data Factory.
• Knowledge of Unity Catalog and Databricks Workflows.
• Experience with CI/CD pipelines and Infrastructure as Code.
• Databricks certifications.
• Understanding of data governance, security, and regulatory requirements in financial environments.

O projekcie:

We are looking for an experienced Senior Data Engineer to join a long-term project for a client in the financial services industry. The ideal candidate has strong hands-on experience with Databricks, modern data engineering technologies, and building scalable data solutions in enterprise environments.

Project Details

• Position: Senior Data Engineer (Databricks)
• Industry: Financial Services
• Seniority: Senior
• Start Date: December 2026
• Duration: 12 months
• Language: English C1

Zakres obowiązków:

• Design, develop, and maintain scalable data pipelines using Databricks.
• Build and optimize ETL/ELT processes for large-scale data processing.
• Develop data transformation solutions using PySpark, Python, and SQL.
• Implement and optimize Delta Lake architectures.
• Design and maintain reliable data ingestion and integration processes.
• Improve data quality, performance, and reliability across data platforms.
• Collaborate with Data Architects, Analysts, and business stakeholders to deliver data solutions.
• Ensure data security, governance, and compliance with financial industry standards.
• Troubleshoot and optimize existing data engineering workflows.